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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<div class="textblock">Here is a list of all functions with links to the classes they belong to:</div>

<h3><a id="index_o" name="index_o"></a>- o -</h3><ul>
<li>objective()&#160;:&#160;<a class="el" href="classshark_1_1_evaluation_archive.html#a4de5255fedccb38db93192a82a4fce3b">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a></li>
<li>offset()&#160;:&#160;<a class="el" href="classshark_1_1_kernel_expansion.html#a1c89cb50933ee211d67af90e6366e0ee">shark::KernelExpansion&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_model.html#a5f56398c9b4c1f6705ff9c31c8c5e054">shark::LinearModel&lt; InputType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_normalizer.html#a8abf487791b879f20d292425abca937c">shark::Normalizer&lt; VectorType &gt;</a></li>
<li>offsetGradient()&#160;:&#160;<a class="el" href="classshark_1_1_qp_box_linear.html#a3dce83db17b67190bd6730e44cdb773e">shark::QpBoxLinear&lt; InputT &gt;</a></li>
<li>OneClassSvmTrainer()&#160;:&#160;<a class="el" href="classshark_1_1_one_class_svm_trainer.html#af71e482c577866841ac8057ca560cff8">shark::OneClassSvmTrainer&lt; InputType, CacheType &gt;</a></li>
<li>OneNormRegularizer()&#160;:&#160;<a class="el" href="classshark_1_1_one_norm_regularizer.html#aee264882401214ab78b0201abee5f666">shark::OneNormRegularizer&lt; SearchPointType &gt;</a></li>
<li>OneVersusOneClassifier()&#160;:&#160;<a class="el" href="classshark_1_1_one_versus_one_classifier.html#a62a70003c61f4b1e0ac8ed341b06dfc8">shark::OneVersusOneClassifier&lt; InputType, VectorType &gt;</a></li>
<li>OOBerror()&#160;:&#160;<a class="el" href="classshark_1_1_r_f_classifier.html#acd70da3c9340d47d5d7611e0b35f5d88">shark::RFClassifier&lt; LabelType &gt;</a></li>
<li>operator!=()&#160;:&#160;<a class="el" href="group__shark__globals.html#ga9c01641bb46faca7c6ee8fca1069cec9">shark::Data&lt; Type &gt;</a>, <a class="el" href="structshark_1_1_key_value_pair.html#a67d68e8fb63b2d3f377a1f02a72e3348">shark::KeyValuePair&lt; Key, Value &gt;</a></li>
<li>operator&amp;()&#160;:&#160;<a class="el" href="classshark_1_1_typed_flags.html#a5e9ab823c14e3ffeb568a622e15bc27b">shark::TypedFlags&lt; Flag &gt;</a></li>
<li>operator()()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_cost.html#ab299a1d05b8592018de7df84c1928d42">shark::AbstractCost&lt; LabelT, OutputT &gt;</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a187783089e5ee24875e43b8865b1a46e">shark::AbstractKernelFunction&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_loss.html#ad232712edcc7a2df8bf2bc4936ae93f9">shark::AbstractLoss&lt; LabelT, OutputT &gt;</a>, <a class="el" href="classshark_1_1_abstract_model.html#aa10f381b3bd678c82a600c5bc6ac0ec3">shark::AbstractModel&lt; InputTypeT, OutputTypeT, ParameterVectorType &gt;</a>, <a class="el" href="classshark_1_1_abstract_objective_function.html#aa79994e4b70d92fd30e62be20145ebd9">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_base_d_c_non_dominated_sort.html#a1b65cbbe243681b1b744d0549c4e0020">shark::BaseDCNonDominatedSort</a>, <a class="el" href="structshark_1_1_bitflip_mutator.html#a05a38dc09241ab2eda7c7ff3c2a0593f">shark::BitflipMutator</a>, <a class="el" href="classshark_1_1_block_matrix2x2.html#a7051ce16842666316e1567d868378c3e">shark::BlockMatrix2x2&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_cached_matrix.html#acc663e94e28d7e35fd77b2c8b4889c07">shark::CachedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_data_distribution.html#a81288ff28bf77b08bfa7ae6e7dbb1c5d">shark::DataDistribution&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_difference_kernel_matrix.html#ac0d680c150fb59ca448ae407304f3ec6">shark::DifferenceKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="structshark_1_1_elitist_selection.html#a0293b6fc6392c8ca589bb171c122ccb4">shark::ElitistSelection&lt; Ordering &gt;</a>, <a class="el" href="structshark_1_1_e_p_tournament_selection.html#ad32dd14e09e7ab34a2bf0519d37f6426">shark::EPTournamentSelection&lt; Ordering &gt;</a>, <a class="el" href="classshark_1_1_evaluation_archive.html#a33c6048db6cd5d71203e8f79c407501b">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_example_modified_kernel_matrix.html#a04b1125f744d2db2f81c31a89e441862">shark::ExampleModifiedKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_kernel_matrix.html#a307ae446e644aab67f655efd5c7e4bc6">shark::GaussianKernelMatrix&lt; T, CacheType &gt;</a>, <a class="el" href="classshark_1_1_h_m_g_selection_criterion.html#ab5378debaa7a2147d37bc14edfb76bcc">shark::HMGSelectionCriterion</a>, <a class="el" href="structshark_1_1_hypervolume_approximator.html#ac1bad82402367342bcb101f5d20bdfbc">shark::HypervolumeApproximator</a>, <a class="el" href="structshark_1_1_hypervolume_calculator2_d.html#a42dcf0f6327590ed856ccb7c3cc0526a">shark::HypervolumeCalculator2D</a>, <a class="el" href="structshark_1_1_hypervolume_calculator3_d.html#a5380fba06eafd3dcd3891e8998a61882">shark::HypervolumeCalculator3D</a>, <a class="el" href="structshark_1_1_hypervolume_calculator.html#a0bc32696c337f742123983a70fccee92">shark::HypervolumeCalculator</a>, <a class="el" href="structshark_1_1_hypervolume_calculator_m_d_h_o_y.html#a94c88292987b665d75b1d57cc921fc6e">shark::HypervolumeCalculatorMDHOY</a>, <a class="el" href="structshark_1_1_hypervolume_calculator_m_d_w_f_g.html#ac4647af360805724fa9bf6425ed7256c">shark::HypervolumeCalculatorMDWFG</a>, <a class="el" href="structshark_1_1_hypervolume_subset_selection2_d.html#aa0aa8bb2bc003bc32d6a636895009ae4">shark::HypervolumeSubsetSelection2D</a>, <a class="el" href="structshark_1_1_indicator_based_selection.html#ae1c5f7b2cd375c0abc8ec37f85ea80d8">shark::IndicatorBasedSelection&lt; Indicator &gt;</a>, <a class="el" href="structshark_1_1_individual_1_1_fitness_ordering.html#ad7a83da604cd65a17137fe7d14327e74">shark::Individual&lt; PointType, FitnessTypeT, Chromosome &gt;::FitnessOrdering</a>, <a class="el" href="structshark_1_1_individual_1_1_rank_ordering.html#ac4a9e7013da6bdd76788cd4a0c1f1fb7">shark::Individual&lt; PointType, FitnessTypeT, Chromosome &gt;::RankOrdering</a>, <a class="el" href="classshark_1_1_kernel_matrix.html#af9ce0968195cf9ca49c7e77ba7c5d3c6">shark::KernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_labeled_data_distribution.html#a198219fda4f514aa5bba30629e57dd8c">shark::LabeledDataDistribution&lt; InputType, LabelType &gt;</a>, <a class="el" href="structshark_1_1_lib_s_v_m_selection_criterion.html#a84b251c8ca0ef80fe224866063d25fc4">shark::LibSVMSelectionCriterion</a>, <a class="el" href="structshark_1_1_linear_ranking_selection.html#a580dcf5f597966ebdbde9d3fca4c7f92">shark::LinearRankingSelection&lt; Ordering &gt;</a>, <a class="el" href="classshark_1_1_line_search.html#add7cf71eb433f98c0af432aaf8f7717a">shark::LineSearch&lt; SearchPointType &gt;</a>, <a class="el" href="structshark_1_1_maximum_gain_criterion.html#aa4198e26d3157b43e01921ab354a5119">shark::MaximumGainCriterion</a>, <a class="el" href="structshark_1_1_maximum_gradient_criterion.html#ab3250a533af9c6764b0f2abf09696c85">shark::MaximumGradientCriterion</a>, <a class="el" href="classshark_1_1_modified_kernel_matrix.html#a9da76ea5c29a2ffd721514f0405b506f">shark::ModifiedKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_multi_nomial_distribution.html#a1148b3503fe2227a20ebe3b3abc8d6fe">shark::MultiNomialDistribution</a>, <a class="el" href="classshark_1_1_multi_variate_normal_distribution.html#a11520c6c68f92492b1b559000b8fdbbe">shark::MultiVariateNormalDistribution</a>, <a class="el" href="classshark_1_1_multi_variate_normal_distribution_cholesky.html#a1de3800a44132fead861550cfb36a038">shark::MultiVariateNormalDistributionCholesky</a>, <a class="el" href="structshark_1_1_m_v_p_selection_criterion.html#a68398922534566a9d2601d92096e4edc">shark::MVPSelectionCriterion</a>, <a class="el" href="structshark_1_1_one_point_crossover.html#af9d2aefdddb6022d9523d11fed1bb30e">shark::OnePointCrossover</a>, <a class="el" href="structshark_1_1_partially_mapped_crossover.html#acfc097e51107f82f41430ada99a06530">shark::PartiallyMappedCrossover</a>, <a class="el" href="classshark_1_1_partly_precomputed_matrix.html#a03dac3c5b68cbbef9e750e693045e281">shark::PartlyPrecomputedMatrix&lt; Matrix &gt;</a>, <a class="el" href="structshark_1_1_penalizing_evaluator.html#ab0b4b30312f7a7745f2185e3ff7e699c">shark::PenalizingEvaluator</a>, <a class="el" href="structshark_1_1_polynomial_mutator.html#ab007557862cddc9e2655aa743b9e40bc">shark::PolynomialMutator</a>, <a class="el" href="classshark_1_1_precomputed_matrix.html#ac878d742d220a264960bf9228a150d1b">shark::PrecomputedMatrix&lt; Matrix &gt;</a>, <a class="el" href="structshark_1_1_qp_mc_box_decomp_1_1_prefered_selection_strategy.html#a3afa1ed9547402f287498f16c23317cd">shark::QpMcBoxDecomp&lt; Matrix &gt;::PreferedSelectionStrategy</a>, <a class="el" href="structshark_1_1_qp_mc_simplex_decomp_1_1_prefered_selection_strategy.html#aac71b28946c4fac90b4289227964365f">shark::QpMcSimplexDecomp&lt; Matrix &gt;::PreferedSelectionStrategy</a>, <a class="el" href="classshark_1_1_qp_sparse_array.html#aa9c70dcd6ba6f62a66c1321c1f979930">shark::QpSparseArray&lt; QpFloatType &gt;</a>, <a class="el" href="structshark_1_1_reference_vector_adaptation.html#a2e06c3dc458dc3292ed87c700ccac2c1">shark::ReferenceVectorAdaptation&lt; IndividualType &gt;</a>, <a class="el" href="structshark_1_1_reference_vector_guided_selection.html#a7bf23c25be28a0dc6a93b1ccb419233f">shark::ReferenceVectorGuidedSelection&lt; IndividualType &gt;</a>, <a class="el" href="classshark_1_1_regularized_kernel_matrix.html#ad5c4405d369405498a16ae04e7cf8f18">shark::RegularizedKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="structshark_1_1_roulette_wheel_selection.html#a4549b968b1d3f518727abc573f91f162">shark::RouletteWheelSelection</a>, <a class="el" href="structshark_1_1_simulated_binary_crossover.html#a23c71848225890e90268af5696dce7c1">shark::SimulatedBinaryCrossover&lt; PointType &gt;</a>, <a class="el" href="structshark_1_1_tournament_selection.html#aa0755b1e4480e842876287ffd2930084">shark::TournamentSelection&lt; Predicate &gt;</a>, <a class="el" href="classshark_1_1_uniform_crossover.html#a59ba18da8fe3c0bce35d7714ab63d656">shark::UniformCrossover</a>, <a class="el" href="structshark_1_1_uniform_ranking_selection.html#a7db44dbe945460adf786b811c0f3615e">shark::UniformRankingSelection</a>, <a class="el" href="structshark_1_1_w_s2_maximum_gradient_criterion.html#aa8c50f6f2d3d51a215bd355baf638b7c">shark::WS2MaximumGradientCriterion</a></li>
<li>operator&lt;()&#160;:&#160;<a class="el" href="classshark_1_1_evaluation_archive_1_1_point_result_pair_type.html#ad2abe42ab8fe85daa677d178e42e47be">shark::EvaluationArchive&lt; PointType, ResultT &gt;::PointResultPairType</a>, <a class="el" href="structshark_1_1_key_value_pair.html#aa75aa423b997870fca2aaa62f61c710a">shark::KeyValuePair&lt; Key, Value &gt;</a></li>
<li>operator&lt;=()&#160;:&#160;<a class="el" href="structshark_1_1_key_value_pair.html#a505d666f6bed4f5bd174e5488705abe3">shark::KeyValuePair&lt; Key, Value &gt;</a></li>
<li>operator=()&#160;:&#160;<a class="el" href="classshark_1_1_error_function.html#a4e4d6012adc12139b7757ed9b1933a76">shark::ErrorFunction&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_shark.html#a6f03a2c641c67f83775d255d1e3b02d3">shark::Shark</a>, <a class="el" href="classshark_1_1_typed_flags.html#a2330d36929aeb94a51045e6585da6e6b">shark::TypedFlags&lt; Flag &gt;</a>, <a class="el" href="group__shark__globals.html#ga26e45cc01c8ff9b3e6e0d3fcba2e4718">shark::UnlabeledData&lt; InputT &gt;</a>, <a class="el" href="structshark_1_1_weighted_data_batch.html#a9a07bdf59fd11d9f3bd7cf38dedec869">shark::WeightedDataBatch&lt; DataBatchType, WeightBatchType &gt;</a>, <a class="el" href="structshark_1_1_weighted_data_pair.html#a552caca30cff45615dd102e80694d94a">shark::WeightedDataPair&lt; DataType, WeightType &gt;</a></li>
<li>operator==()&#160;:&#160;<a class="el" href="group__shark__globals.html#gaddb33ca1abda79975c6b458b1cecf25e">shark::Data&lt; Type &gt;</a>, <a class="el" href="classshark_1_1_evaluation_archive_1_1_point_result_pair_type.html#a86750e5d5689fe0df8f3e97e3fb47697">shark::EvaluationArchive&lt; PointType, ResultT &gt;::PointResultPairType</a>, <a class="el" href="structshark_1_1_key_value_pair.html#a7d2e3d38c7bd1ce214076c1eeab1e8bf">shark::KeyValuePair&lt; Key, Value &gt;</a></li>
<li>operator&gt;()&#160;:&#160;<a class="el" href="structshark_1_1_key_value_pair.html#a0313d81d9e123bf514f1f1bde0f3f02a">shark::KeyValuePair&lt; Key, Value &gt;</a></li>
<li>operator&gt;=()&#160;:&#160;<a class="el" href="structshark_1_1_key_value_pair.html#a0b659e6c3659e7c1885c76e0ff5da7ca">shark::KeyValuePair&lt; Key, Value &gt;</a></li>
<li>operator[]()&#160;:&#160;<a class="el" href="classshark_1_1_data_view.html#a096d8cc31117ca710fe41f79c46a9faf">shark::DataView&lt; DatasetType &gt;</a>, <a class="el" href="classshark_1_1_shape.html#a4acfa4c44dd55f4e3ed0b155674d7325">shark::Shape</a>, <a class="el" href="classshark_1_1statistics_1_1_result_table.html#ac223c84eb37e83cfc179082ec43f1d46">shark::statistics::ResultTable&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1statistics_1_1_statistics.html#a2c0d24ac828f87438af9637a5142a161">shark::statistics::Statistics&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1_weighted_data_batch.html#adf2340323a3555f694c2401e9c929078">shark::WeightedDataBatch&lt; DataBatchType, WeightBatchType &gt;</a></li>
<li>operator|()&#160;:&#160;<a class="el" href="classshark_1_1_typed_flags.html#af263a3e9826fa6982dbc573ba0eb299a">shark::TypedFlags&lt; Flag &gt;</a></li>
<li>operator|=()&#160;:&#160;<a class="el" href="classshark_1_1_typed_flags.html#acfa2dc4e7c1f42279437f9e9c62bd752">shark::TypedFlags&lt; Flag &gt;</a></li>
<li>OptimizationTrainer()&#160;:&#160;<a class="el" href="classshark_1_1_optimization_trainer.html#a3bce482c2ef3c70bbbab4b7c034c294b">shark::OptimizationTrainer&lt; Model, LabelTypeT &gt;</a></li>
<li>originalIndex()&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#aa22a592f6560da037e33a24f05b1f41a">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a35458b4d12a371cf221c1643e7295072">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>outputShape()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_model.html#a54b8655a750489902560a5eb32ba5b4b">shark::AbstractModel&lt; InputTypeT, OutputTypeT, ParameterVectorType &gt;</a>, <a class="el" href="classshark_1_1_c_a_r_tree.html#ad304c0e7b8eafe8b7a479c55893acf2c">shark::CARTree&lt; LabelType &gt;</a>, <a class="el" href="classshark_1_1_classifier.html#a5a2407d446b736bb6953a467b5dc080d">shark::Classifier&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_c_m_a_c_map.html#a014784979a9cf1516977daaa94b88c9b">shark::CMACMap</a>, <a class="el" href="classshark_1_1_concatenated_model.html#a148c74312f4b84d6b7c3d4614ab10cbe">shark::ConcatenatedModel&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_conv2_d_model.html#ac9d63e4f9c8de8c29fe5995555581f4f">shark::Conv2DModel&lt; VectorType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_dropout_layer.html#a5707772833530fd29f7f81734e59af47">shark::DropoutLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_hard_clustering_model.html#a2036e2c4b73132196300e7d48444dc38">shark::HardClusteringModel&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_kernel_expansion.html#a251b1a2dec182d8433b8010fc2df0787">shark::KernelExpansion&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_model.html#a9eeb86bc2b2c822fa5b9617e80a98d91">shark::LinearModel&lt; InputType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_neuron_layer.html#a4b411e1d052cd4e85ebbefee480e5ed7">shark::NeuronLayer&lt; NeuronType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_normalizer.html#af9539f7513c96fa81afcc0250bdb095c">shark::Normalizer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_one_versus_one_classifier.html#ab95b7c7a39b4f87ee47a5a4a48256525">shark::OneVersusOneClassifier&lt; InputType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_pooling_layer.html#ad9fb0c664cd068033bf1de655fde6bd3">shark::PoolingLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_r_b_f_layer.html#a5f0b042b8eaffbd25b1c3b980f0073c5">shark::RBFLayer</a>, <a class="el" href="classshark_1_1_r_b_m.html#a38b0902cc476633d87d332220d13e9a0">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a>, <a class="el" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973">shark::ResizeLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_soft_clustering_model.html#a5e8c47e53870f7bf4734478980e65667">shark::SoftClusteringModel&lt; InputT &gt;</a></li>
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